SOTAVerified

Question Answering

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

Papers

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Showing 4751–4775 of 10817 papers

TitleStatusHype
PipeNet: Question Answering with Semantic Pruning over Knowledge GraphsCode0
Can Generative AI Support Patients' & Caregivers' Informational Needs? Towards Task-Centric Evaluation Of AI Systems—0
Instruction-Guided Scene Text Recognition—0
Binding Touch to Everything: Learning Unified Multimodal Tactile Representations—0
Desiderata for the Context Use of Question Answering Systems—0
Proximity QA: Unleashing the Power of Multi-Modal Large Language Models for Spatial Proximity AnalysisCode0
Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasks—0
Security and Privacy Challenges of Large Language Models: A Survey—0
YTCommentQA: Video Question Answerability in Instructional VideosCode0
QACP: An Annotated Question Answering Dataset for Assisting Chinese Python Programming LearnersCode0
Taxonomy of Mathematical PlagiarismCode0
LCV2: An Efficient Pretraining-Free Framework for Grounded Visual Question Answering—0
Towards Optimizing the Costs of LLM Usage—0
Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQA—0
Improving Data Augmentation for Robust Visual Question Answering with Effective Curriculum Learning—0
Fortifying Ethical Boundaries in AI: Advanced Strategies for Enhancing Security in Large Language Models—0
A RAG-based Question Answering System Proposal for Understanding Islam: MufassirQAS LLM—0
Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance—0
DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure—0
Benchmarking Large Language Models in Complex Question Answering Attribution using Knowledge Graphs—0
Towards Consistent Natural-Language Explanations via Explanation-Consistency FinetuningCode0
Genie: Achieving Human Parity in Content-Grounded Datasets Generation—0
Fine-Grained Stateful Knowledge Exploration: A Novel Paradigm for Integrating Knowledge Graphs with Large Language ModelsCode0
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data—0
CFMatch: Aligning Automated Answer Equivalence Evaluation with Expert Judgments For Open-Domain Question Answering—0
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All datasetsSQuAD2.0SQuAD1.1HotpotQAPIQABoolQCOPATriviaQASQuAD1.1 devNatural QuestionsOpenBookQATruthfulQAMultiRC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94—Unverified
2FPNet (ensemble)EM90.87—Unverified
3IE-NetV2 (ensemble)EM90.86—Unverified
4SA-Net on Albert (ensemble)EM90.72—Unverified
5SA-Net-V2 (ensemble)EM90.68—Unverified
6FPNet (ensemble)EM90.6—Unverified
7Retro-Reader (ensemble)EM90.58—Unverified
8EntitySpanFocusV2 (ensemble)EM90.52—Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49—Unverified
10EntitySpanFocus+AT (ensemble)EM90.45—Unverified